What is Prompt Engineering and how does it work?3 min read
Artificial Intelligence (AI) is developing at a rapid pace, and the ability to communicate effectively with these technologies is becoming an essential requirement. This article will introduce you to the world of "prompts" - what they are, why they are important, and how to create them to get better results.
What is Prompt Engineering?
With the advent of AI, our ability to communicate effectively with these systems is becoming increasingly important. We as users submit requests (from the English "prompts"), and the quality of the responses depends on them. The more structured and clear our prompts are, the more value we can derive from tools like ChatGPT.
Language models are trained with huge datasets and can provide (almost) any information. Unlike Google, which provides a link to Wikipedia when queried as "cat", ChatGPT seeks to understand the context of the query and asks additional clarifying questions. This makes qualitative formulation of prompts a key skill.
Prompts can be:
- Questions: For example, "What is the cats' favorite food?"
- Instructions: For example, "Make a list of five interesting facts about cats."
- Examples: For example, "Imagine a funny situation with a cat."
- Descriptions: For example, "What does a Siamese cat look like?"
Writing professional prompts, however, requires specific knowledge, which is why the new field of "query engineering" is increasingly being talked about.
How do you create successful prompts?
The difference between an optimized and mediocre propt can be huge. Imagine asking a fellow marketer to create a social media campaign. If you just give him this task without any additional information, he will flood you with clarifying questions. Similarly, when interacting with AI, context is essential.
To create a working Prompt, try the following items:
- Role: Identify the expert you need. For example, "Act as a data analyst."
- Objective: Articulate clearly what you want from AI. For example, "I want you to write a post for Instagram."
- Context: Share details related to your request. For example.
- Format: Determine the preferred response format. For example: text, table, HTML code.
- Examples: Show AI successful examples to follow. For example, "Here's a previous successful post, copy its structure."
- Inputs: Provide information that would enrich the results. For example: statistics or specific data.
- Tone of voice: Choose an appropriate communication style - humorous, formal, etc.
Example of a well-structured Prompt for ChatGPT:
"Act like a LinkedIn marketing and copywriting expert with over 10 years of experience. Write a post announcing your new job and also thanking your previous employer and colleagues. I want the text to be concise, precise and clear, organized in short paragraphs.
Here is an example of such a publication: [insert example]."
Why is Prompt Engineering important for the future?
Creating effective AI prompts is becoming key in modern professional fields. Despite scattered information on the topic, their importance is growing with the increasing number of AI applications. Being able to formulate clear and targeted queries adds value to your CV.
Artificial intelligence is already finding applications in various fields such as education, science, medicine and marketing. That's why it's key to take the time to learn about promethean engineering. With the right approach and experimentation, you can make serious progress.